FREMONT, CA: Making processes more powerful, the technology of ‘Deep Learning’ is making greater impacts with its innovative techniques in the last decade. Eliminating the challenges put forth by unstructured data, deep learning API solutions transform real time data analysis. According to the definition given by Aaron Chavez, Chief Scientist of AlchemyAPI, the general idea of deep learning is to use neural networks to build multiple layers of abstraction to solve a complex semantic problem. AlchemyAPI develops cognitive applications through text analysis and deep learning. The company was recently acquired by IBM to bring deep learning to Watson.

Deep learning in simple terms is a new area of machine learning that works to improve things like computer vision and natural language processing to solve unstructured data challenge explains Janet Wagner, writer in a publication for AlchemyAPI. A recent study made by IBM claims that approximately 2.5 exabytes of data are being created every day. Along the same lines, International Data Corporation, a market research, analysis and advisory firm estimates that by 2020 around 40 zettabytes of data will be generated every day. Here is where the deep learning system comes to aid as it gives organizations the power to derive insights and transform real-time data analysis from unstructured data.

Rooted in traditional neural networks that trace back to the late nineteen-fifties, deep learning excels in dealing with unsupervised data. Unsupervised learning being a key term in this technology is the process of extracting information from the bulk unstructured data as it holds the capability to cluster data to understand patterns. This helps the organization to make the best out of hidden or grouped data.

Recommendation Engines: This tool allows algorithm developers to predict what a user may or may not like among a list of given items. Netflix is a great example of a recommendation engine based on deep learning as it recommends two third of its movies using this technology.

Image Recognition / Face Detection: It detects faces, identifies demographic information like age and gender, and can even recognize certain celebrity faces. Seamless classification and analysis of pictures is now possible with recent developments in deep learning technology, a self learning system that can automatically learn to classify images based on examples.

Voice Search / Voice-Activated Assistants: One among the most popular deep learning APIs, voice-activated intelligent assistants found on almost all smartphones.